Fast decomposition method power flow calculation method based on matlab sparse matrix

A technique of sparse matrix and power flow calculation, which is applied to AC networks with the same frequency from different sources, AC network circuits, circuit devices, etc., can solve problems such as slow calculation speed, and achieve easy writing, easy program modification, and simplified programming. Effect

Inactive Publication Date: 2019-10-01
DALIAN MARITIME UNIVERSITY
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is realized by Matlab, making full use of the characteristics of Matlab that is good at matrix operations and complex number operations, but does not use sparse matrix technology, the calculation speed is relatively slow, and the calculation speed still needs to be further improved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fast decomposition method power flow calculation method based on matlab sparse matrix
  • Fast decomposition method power flow calculation method based on matlab sparse matrix
  • Fast decomposition method power flow calculation method based on matlab sparse matrix

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a Matlab sparse matrix based power flow fast decomposition calculation method. The Matlab sparse matrix based power flow fast decomposition calculation method is realized at a Matlab platform by adopting the Matlab sparse matrix technology, so that a researcher can test and analyze a calculation result conveniently by using various tools and functions provided by the Matlab. As matrix operation and complex operation are adopted, program codes are reduced, the programming is simplified, the program becomes clearer, and convenience is brought for the researcher to modify the program, debug and improve the program and add new functions; and due to the use of the matrix operation, the calculation speed is also improved greatly. By adopting the Matlab sparse matrix technology in the Matlab sparse matrix based power flow fast decomposition calculation method, the calculation speed is greatly increased; meanwhile, the Matlab sparse matrix is very convenient to use, and the elements of the sparse matrix can be used directly like the row and column number of a full matrix, and design of a sparse storage structure is also unnecessary. The Matlab sparse matrix based power flow fast decomposition calculation method modifies the calculation process of an admittance matrix, and further improves the calculation speed.

Description

technical field The invention relates to a power system fast decomposition method power flow calculation method, in particular to a fast decomposition method power flow calculation method suitable for research purposes. Background technique Power system power flow calculation is a basic calculation for studying the steady-state operation of the power system. It determines the operating state of the entire network according to the given operating conditions and network structure. The power flow calculation is also the basis of other analysis of the power system, such as safety analysis, transient stability analysis, etc., all use power flow calculation. Due to the advantages of reliable convergence, fast calculation speed, and less memory requirements, the fast decomposition method has become one of the mainstream methods for power flow calculations. Researchers often conduct further research on the basis of fast decomposition method power flow calculations. Practical commer...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/06
CPCH02J3/06H02J2203/20
Inventor 姚玉斌赵红朱景伟
Owner DALIAN MARITIME UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products